Add Sizebay size recommendations and virtual try-on to your commercetools storefront, using product-level sizing data on PDPs to help shoppers pick the right fit and cut return risk.
• Product identifiers (SKU, product key, variant ID) are mapped between commercetools and Sizebay to keep recommendations tied to the correct variant on the PDP.
• Size-related attributes and fit content (measurements, size tables, fit notes, and gender or category cues) are synchronized to Sizebay as product-level sizing data, with locale handling where available.
• Storefront requests pass the current product, variant, and shopper inputs to Sizebay, and the response returns recommended size and try-on payloads for rendering on PDP components.
• Delta-based updates send only changed product and attribute records to reduce load, with full exports used for initial alignment or major catalog changes.
• Sync jobs validate required mappings and log rejected records (missing SKUs, unsupported attribute formats, and duplicate identifiers) for reconciliation.
• Event-driven triggers can react to product publish, unpublish, and variant changes in commercetools to keep Sizebay content aligned with live catalog state.
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We map commercetools product and variant attributes to Sizebay’s sizing model, then render the widget on your PDP via your frontend. The experience stays fast because sizing logic runs in Sizebay while catalog ownership stays in commercetools.
Typically: category, brand, gender, size scale, variant size, and fit-related attributes, plus consistent SKU/variant identifiers. We validate attribute hygiene first so recommendations are stable across your catalog.
Yes, we can support multiple size scales, languages, and markets by aligning Sizebay configuration with commercetools channels, locales, and product types. This keeps fit guidance consistent even when assortments differ by region.
Track widget views, recommendation usage, size selection, and purchase events in GA4 or your BI stack, and tie them to return reasons. Our data team has delivered 575+ eCommerce BI dashboards, so you get reporting that’s actually decision-ready.
Yes, we handle the full scope – data mapping, API work, frontend placement, QA, and analytics. We’ve delivered 2,100+ projects since 2003, including complex eCommerce integrations across fashion catalogs.




